Please enter verification code
Confirm
Intelligent Control Mechanism for Underwater Wet Welding
International Journal of Mechanical Engineering and Applications
Volume 3, Issue 4, August 2015, Pages: 50-56
Received: Jul. 1, 2015; Accepted: Jul. 10, 2015; Published: Jul. 21, 2015
Views 5180      Downloads 351
Authors
Joshua Emuejevoke Omajene, LUT Mechanical Engineering, Lappeenranta University of Technology, Lappeenranta, Finland
Paul Kah, LUT Mechanical Engineering, Lappeenranta University of Technology, Lappeenranta, Finland
Huapeng Wu, LUT Mechanical Engineering, Lappeenranta University of Technology, Lappeenranta, Finland
Jukka Martikainen, LUT Mechanical Engineering, Lappeenranta University of Technology, Lappeenranta, Finland
Christopher Okechukwu Izelu, Department of Mechanical Engineering, College of Technology, Federal University of Petroleum Resources, Effurun, Delta State, Nigeria
Article Tools
Follow on us
Abstract
It is important to achieve high quality weld in underwater welding as it is vital to the integrity of the structures used in the offshore environment. Due to the difficulty in ensuring sound welds as it relates to the weld bead geometry, it is important to have a robust control mechanism that can meet this need. This work is aimed at designing a control mechanism for underwater wet welding which can control the welding process to ensure the desired weld bead geometry is achieved. Obtaining optimal bead width, penetration and reinforcement are essential parameters for the desired bead geometry. The method used in this study is the use of a control system that utilizes a combination of fuzzy and PID controller in controlling flux cored arc welding process. The outcome will ensure that optimal weld bead geometry is achieved as welding is being carried out at different water depth in the offshore environment. The result for the hybrid fuzzy-PID gives a satisfactory outcome of overshoot, rise time and steady error. This will lead to a robust welding system for oil and gas companies and other companies that carry out repair welding or construction welding in the offshore.
Keywords
Control System, Bead Geometry, Fuzzy Logic, Process Parameter, Underwater Welding
To cite this article
Joshua Emuejevoke Omajene, Paul Kah, Huapeng Wu, Jukka Martikainen, Christopher Okechukwu Izelu, Intelligent Control Mechanism for Underwater Wet Welding, International Journal of Mechanical Engineering and Applications. Vol. 3, No. 4, 2015, pp. 50-56. doi: 10.11648/j.ijmea.20150304.11
References
[1]
Chong-Liang Tsai, Kiochi Masubuchi, "Mechanism of rapid cooling in underwater welding," Applied ocean research, vol. 1, no. 2, pp. 99-110, 1979.
[2]
Yong-hua SHI, Zei-pei ZHENG & Jin HUANG, "Sensitivity model for prediction of bead geometry in underwater wet flux cored arc welding," Transaction of nonferrous metals society of China, pp. 1977-1984, 2013.
[3]
H. T. Zhang, X. Y. DAI, J. C. FENG & L. L. HU, "Preliminary investigation on real time induction heating assisted underwater wet welding," Welding research , vol. 94, pp. 8-15, 2015.
[4]
J. Labanowski, "Development of Underwater Welding Techniques," Welding International, vol. 25, pp. 933-937, 2011.
[5]
Yara H., Makishi Y., Kikuta Y., & Matsuda F., "Mechanical and metallurgical properties of an experimental covered electrode for wet underwater welding," Welding International, vol. 1, pp. 835-839, 1987.
[6]
Liu S., Olsen D. L., & Ibarra S. J., "Designing shielded metal arc consumables for underwater wet welding in offshore applications," Journal of Offshore Mechanica and Arctic Engineering, vol. 117, pp. 212-220, 1995.
[7]
Kononenko V. Y., "Mechanised welding with self-shielding flux-cored wires for repairing hydraulic installations and vessels in underwater," Welding International , vol. 10, pp. 994-997, 1996.
[8]
Jia C. B. , Zhang T., Maksimov S. Y., & Yuan X., "Spectroscopic analysis of the arc plasma of underwater wet flux-cored arc welding," Journal of Materials Processing Technology, vol. 213, pp. 1370-1377, 2013.
[9]
Brown R. T. &. Masubuchi K., "Effects of water environment on metallurgical structures of welds," Welding Research Supplement, pp. 178-188, 1975.
[10]
Liu S. & Olsen D., "Underwater welding," ASM International, vol. 6, pp. 1010-1015, 1993.
[11]
Chon L. Tsai, Baojian Liao, David A. Clukey & Josept. S. Breeding., "Development of a Microprocessor based Tracking and Operation Guidance System for Underwater Welding," Ohio State University, Ohio, 2000.
[12]
Sinthipsomboon K. et al., "http://cdn.intechopen.com/pdfs/39444/A hybrid of fuzzy and fuzzy self tuning pid controller for servo electro hydraulic system," INTECH, pp. 1-16, 2012.
[13]
"Tribal Engineering," [Online]. Available: http://www.tribalengineering.com/technology/fuzzy-ictl.aspx. [Accessed 9 February 2015].
[14]
Ion Iancu & Mihai Gabroveanu, "Fuzzy logic controller based on association rules," Annals of the University of Craiova, Mathematics and Computer Science Series, vol. 37, no. 3, pp. 12-21, 2010.
[15]
Parnichkun M. & Ngaecharoenkul C., "Hybrid of fuzzy and PID in kinematics control of a pneumatic system," in Industrial Electronics Society 26th Annual Confjerence of the IEEE, Thailand, 2000.
[16]
Pornjit Pratumsuwan, Siripun Thongchai & Surapun Tansriwong "A Hybrid of Fuzzy and Proportional-Integral-Derivative Controller for Electro-Hydraulic Position Servo System," Energy Research Journal, vol. 1, no. 2, pp. 62-67, 2010.
[17]
Majid Ali, Majid Ali, Saifullah Khan, Muhammad Waleed & Islamuddin,"Application of an Intelligent Self-Tuning Fuzzy PID Controller on DC-DC Buck Converter," International Journal of Advanced Science and Technology, vol. 48, pp. 139-148, 2012.
ADDRESS
Science Publishing Group
1 Rockefeller Plaza,
10th and 11th Floors,
New York, NY 10020
U.S.A.
Tel: (001)347-983-5186